ijkguo commented on issue #11980: new rcnn code, gpu memory is increasing and gpu utility is very low, what is the reason? URL: https://github.com/apache/incubator-mxnet/issues/11980#issuecomment-410039815 Occupy more memory (initially): because the maximum reserved shape changed from (1, 3, 600, 1000) to (1, 3, 1000, 1000). Keeps increasing: because MutableModule is replaced by Module which supports varying input shape. The behavior of Module is to allocate more and more memory until we can't, but it is safe. MutableModule shared the initially reserved memory, hence not increasing. Lower GPU utilization: because all Cython speedup is removed. Changing to the new version makes the example much easier to setup, to use or to maintain with the price of slower speed. However, research implementations based on the original example is available elsewhere, for example https://github.com/msracver/Deformable-ConvNets. For a historical mind, the old version is available at https://github.com/ijkguo/mx-rcnn/tree/v5.1.
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